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Carlo Cecati

University of L'Aquila - Department of Information Engineering, Computer Science and Mathematics

via Vetoio

L'Aquila, AQ 67100

Italy

  • University of L'Aquila - Department of Information Engineering, Computer Science and Mathematics

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Scholarly Papers (1)

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Estimation of Speed, Armature Temperature and Resistance in Brushed DC Machines Using a CFNN Based on BFGS BP

Turkish Journal of Electrical Engineering and Computer Sciences, 2018
Number of pages: 11 Posted: 20 Oct 2021
H. Mellah, K. E. Hemsas, R. Taleb and Carlo Cecati
Bouira University, University of Ferhat Abbas Setif 1, Hassiba Benbouali University and University of L'Aquila - Department of Information Engineering, Computer Science and Mathematics
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Abstract:

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Cascade-forward neural network, parameter estimation, quasi-Newton BFGS, speed estimation, temperature estimation, resistance estimation